AI Threat Assessment · 26 May 2026

Kearney

Management Consulting
COOKED
7.5/ 10

“Kearney built a century-old consulting practice on the premise that strategy requires humans who have seen it before — partners with gray hair, MBAs with frameworks, and junior analysts who can build a deck explaining why your margins are compressing. The cruel irony is that the pattern recognition they've been selling for $500 an hour turns out to be exactly what large language models do natively, except Claude doesn't need to fly business class to your headquarters to deliver insights that used to require a six-month engagement.”

Business Model
8.0
Automation Risk
8.5
Moat Strength
5.0
Adaptability
6.0
Need Survival
7.5
AI Threat Level
BUSINESS MODEL REPLACEABILITY

Their bread and butter — market analysis, competitive benchmarking, operational diagnostics — now lives in Claude's training data, queryable instantly without the PowerPoint ceremony. The billable hour model dies the moment clients realize they can get 80% of the insight in 80 seconds for 80% less cost.

8.0
WORKFORCE AUTOMATION RISK

Junior analysts who spend months building market sizing models and competitive landscapes are being replaced by AI that builds them in minutes. The pyramid model collapses when the bottom three tiers become a prompt.

8.5
MOAT STRENGTH

Client relationships and 100-year brand reputation create real switching costs — CEOs don't fire McKinsey lightly, and Kearney inherits some of that consulting orthodoxy. But relationship-based moats only work when the deliverable can't be commoditized, and AI just commoditized the insight generation that justified the relationship.

5.0
AI ADAPTABILITY SIGNALS

They've launched 'AI-powered analytics capabilities' and hired data scientists, but the fundamental business model remains unchanged — humans selling insights by the hour to humans who could now query Claude directly.

6.0
WILL THE NEED SURVIVE AI?

Strategic advice survives; strategic research doesn't. The need shifts from 'hire Kearney to analyze our market position' to 'hire one senior advisor to interpret what Claude found and stake their reputation on the recommendation.'

7.5
Verdict

“The consulting model dies when pattern recognition becomes a commodity and junior analysts become a prompt. Kearney's century of experience becomes a corporate history lesson the moment clients realize they've been paying Manhattan rents for insights that now come with their Microsoft subscription.”

Scores are based on public information and AI analysis. This is an affectionate roast, not a financial assessment. The best companies use this as a mirror, not a verdict.

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